Jiankang Chen

Orcid: 0009-0008-8980-8028

According to our database1, Jiankang Chen authored at least 23 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2026
A methodology for ultra-high dimensional reliability analysis of slopes considering spatial variability of soil properties.
Reliab. Eng. Syst. Saf., 2026

Real-time classification model for anomalous sensor data in dam safety monitoring based on convolutional neural networks and transfer learning.
Expert Syst. Appl., 2026

2025
Thyme: Think Beyond Images.
CoRR, August, 2025

DAT: Dual-Branch Adapter-Tuning for Few-Shot Recognition.
IEEE Trans. Circuits Syst. Video Technol., July, 2025

Kwai Keye-VL Technical Report.
CoRR, July, 2025

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning.
CoRR, May, 2025

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types.
CoRR, February, 2025

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Inverse analysis of deformation moduli for high arch dams using the displacement reconstruction technique and multi-objective optimization.
Comput. Aided Civ. Infrastructure Eng., May, 2024

A novel deformation monitoring model for high arch dams using impulse response-based equivalent temperature and machine learning-aided separate modeling.
Expert Syst. Appl., March, 2024

Deep transfer learning-based time-varying model for deformation monitoring of high earth-rock dams.
Eng. Appl. Artif. Intell., 2024

MlyPredCSED: based on extreme point deviation compensated clustering combined with cross-scale convolutional neural networks to predict multiple lysine sites in human.
Briefings Bioinform., 2024

Rapid postearthquake modelling method for deformation monitoring models of high arch dams based on metalearning and graph attention.
Adv. Eng. Informatics, 2024

Enhancing Task Identification Through Pseudo-OOD Features for Class-Incremental Learning.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

EFOA: Enhancing Out-of-Distribution Detection by Fake Outlier Augmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

HBIpFL: Hypernetwork and Backdoor Isolation Personalized Federated Learning.
Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Out-of-Distribution Detection by Principal Component Correspondence.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Bayesian network safety risk analysis for the dam-foundation system using Monte Carlo simulation.
Appl. Soft Comput., 2022

2018
A Scalable Pthreads-Compatible Thread Model for VM-Intensive Programs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

SMR: Scalable MapReduce for Multicore Systems.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018


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